摘要
针对医用高值耗材种类繁多、管理难度大的问题,为减少人力成本、提高医用高值耗材的智能化管理水平。本文提出了基于物联网的高值医用耗材智能屋的管理系统,介绍了智能屋的整体架构、系统功能、核心业务及流程设计,主要分为结构模块、RFID模块、数据库模块、控制系统模块四大模块,具体有用户管理、出入库管理、综合查询、预警管理四大业务,通过GM(1,1)模型对2022年全年高值医用耗材的月消耗量进行预测分析,并且检验得该预测模型的精度等级为一级,模型预测效果很好,能够为医院采购人员采购提供了一个参考,避免因过度的主观估计而造成的耗材浪费。该系统能够有效地提高医院对于高值医用耗材的管理水平,减少人力、物力和财力的消耗,为广大患者提供更加优质的医疗服务。本文所提的高值医用耗材智能屋管理系统解决了传统的高值医用耗材管理的诸多难题。
In order to reduce labor costs and improve the intelligent management level of medical high-value consumables, there are many types of medical high-value consumables and difficult management. This paper proposes a management system for the smart house of high-value medical consumables based on the Internet of Things, and introduces the overall architecture, system functions, core business and process design of the smart house. The large module includes four major businesses: user management, inbound and outbound management, inventory inventory, and expiration date warning. Through the GM(1,1)model, the monthly consumption of high-value medical consumables in 2022 is predicted and analyzed, and the inspection results are obtained. The accuracy level of the prediction model is level 1, and the model prediction effect is very good, which can provide a reference for hospital procurement personnel to purchase, and avoid the waste of consumables caused by excessive subjective estimation. The system can effectively improve the hospital’s management level of high-value medical consumables, reduce the consumption of manpower, material resources and financial resources, and provide more high-quality medical services for the majority of patients. The intelligent house management system of high-value medical consumables proposed in this paper solves many problems in the management of traditional high-value medical consumables.
作者
黄国兴
杨志鹏
陈良红
阮树杰
黄康
杨沁
孟冠军
丁曙光
HUANG Guo-xing;YANG Zhi-peng;CHEN Liang-hong;RUAN Shu-jieHUANG Kang;YANG Qin;MENG Guan-jun;DING Shu-guang(School of Mechanical Engineering,Hefei University of Technology,Hefei 320009,China;Taiyuan Biological Technology Co.,Ltd,Shaoxing312000,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2022年第12期214-219,共6页
Operations Research and Management Science
关键词
物联网
高值医用耗材
耗材管理
RFID
消耗量预测
internet of things
high-value medical consumables
consumables management
RFID
consumption forecast
